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Abstract: At present, ray tracing method is commonly used for radio propagation analysis, but calculation time (/amount of calculation) increases to improve analysis precision. Therefore, we have ...
Abstract: Neural networks are increasingly integrated into scientific discovery, where input data reduction and model quantization play a key role in accelerating inference. However, understanding and ...
STM-Graph is a Python framework for analyzing spatial-temporal urban data and doing predictions using Graph Neural Networks. It provides a complete end-to-end pipeline from raw event data to trained ...